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QueryCom: Secure Message Communication and Data Searching Protocols for Smart Transportation

时间:2023-11-21 11:25:13  作者:  点击:

QueryCom: Secure Message Communication and Data Searching Protocols for Smart Transportation

QueryCom:用于智能交通的安全信息通信和数据搜索协议

Trupil Limbasiya, Debasis Das

特鲁皮尔-林巴斯亚、德巴斯-达斯

Abstract: Vehicular Cloud Computing (VCC) extends the scope of smart transportation applications through sharing vehicular data and resources. It is thus pivotal to transmit, save, and extract vital data with adequate security and privacy protections. There is yet no lightweight vehicular data exchange mechanism for resource-constrained environments that simultaneously offers secure and low-cost message transmission, data storage, and information searching. State-of-the-art vehicular communication protocols are also vulnerable to crucial security attacks and require more computational resources during the implementation. We, therefore, propose secure and efficient message communication, data storage, and information searching protocols (named QueryCom) for smart transportation. The QueryCom is designed using SHA-512 and Advanced Encryption Standard (AES-256), preserving security and user anonymity attributes. Further, an index-based sequential searching method is used to effectually obtain information from the Vehicular Cloud (VC) database. We evaluate QueryCom based on the security proof and attacks analysis to confirm its security robustness against crucial security attributes. The experimental testbed results (on Raspberry Pi 3B+) are discussed to analyze the computational proficiency based on different performance parameters, i.e., time complexity (to search information from the VC database), computation time, storage cost, communication overhead, and energy consumption.

摘要:通过共享车辆数据和资源,车载云计算(VCC)扩展了智能交通的应用范围。因此,在传输、保存和提取重要数据时,确保充分的安全和隐私保护至关重要。由于资源有限,目前尚无轻量级车辆数据交换机制能够同时进行安全且低成本的信息传输、数据存储和信息搜索。即使最先进的车载通信协议也容易受到关键安全攻击,并且在实施过程中需要更多的计算资源。因此,本文提出了QueryCom协议,用于智能交通的安全高效的消息通信、数据存储和信息搜索。该协议采用 SHA-512 和高级加密标准(AES-256)进行设计,以保证安全性及用户匿名属性。此外,采用基于索引的序列搜索方法,QueryCom能够有效地从车载云(VC)数据库中获取信息。本文基于安全验证和攻击分析,对 QueryCom 进行评估,以确认其对关键安全属性的安全鲁棒性。根据不同性能参数,即时间复杂度(从 VC 数据库中搜索信息)、计算时间、存储成本、通信开销和能量消耗,本文讨论了在Raspberry Pi 3B+上的的实验测试结果以分析计算效率。

Key wordssecurity, protocols, cloud computing, smart transportation, memory, data communication, costs

关键词:安全, 协议, 云计算, 智能交通, 存储, 数据通信, 成本



来源:IEEE Transactions on Intelligent Transportation Systems

发表时间:2023-3-06

检索:罗阳

翻译:杨雨茹

一审:李锦慧

二审:彭莉

三审:罗玲娟

上传发布:姜浩








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